zherebetskyy's repositories
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts
This repository contains the sample code to benchmark popular time series forecast algorithms using Gluonts in AWS Sagemaker Notebook Instance.
amazon-sagemaker-mlops-workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
awesome-deep-learning-papers
The most cited deep learning papers
awesome-energy-forecasting
A curated list of awesome energy forecasting resources such as, code libraries, datasets, courses, tutorials, research papers, competitions and communities.
awesome-time-series
list of papers, code, and other resources
amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
deeprenewalprocess
GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
EIA_Cleaned_Hourly_Electricity_Demand_Code
Code associated with the EIA demand data anomaly screening and imputation project
ElectricDemandForecasting-DL
Electricity demand forecasting with temporal convolutional networks
energy_demand
Exploring variations in electricity demand and renewable energy supply over time using Pandas.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
llm-data-science-on-aws
Fregley's fine-tuning LLM
MoA
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
sagemaker-deep-demand-forecast
Using Deep Learning for Demand Forecasting with Amazon SageMaker
statsmodels
Statsmodels: statistical modeling and econometrics in Python
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Time-Series-Forecasting-SARIMAX
Using SARIMAX for Time Series Forecasting on Seasonal Data that is influenced by Exogenous variables
Time-Series-Papers
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法
timeseries_blog
Notebooks for a time series blog post.
XGBoostTutorial
Tutorial for XGBoost, ISAE ML course 2019